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AI / ML Engineers Intern (GDI)

Job details
  • Join Momentum
  • London
  • 1 month ago
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This is a remote position.

We are excited to announce an unpaid internship opportunity at Join Momentum, as part of our flagship Global Digital Internship Program. This unique program offers a comprehensive digital work experience and coaching, designed to propel your career forward. To be considered for this selective opportunity, applicants are required to demonstrate their ability to access our fully-funded scholarship. This 100% scholarship is a testament to our commitment to nurturing talent and providing equal opportunities for growth and development. If you are eager to enhance your skills and gain invaluable experience in a dynamic digital environment, we encourage you to showcase your eligibility for our scholarship during the application process. This is more than just an internship; it's a gateway to global opportunities and professional advancement.
Join Momentum is a talent development consultancy with a focus on empowering individuals and partnering with businesses; to grow and scale digital talents. We are looking forAI / ML EngineersInternsto join our team. We are committed to providing our clients with exceptional services and require a talented and creative individual to help us achieve our goals.

Job Summary
Join Momentum is seekingtalentedand passionateAI / ML EngineersInternsto join our dynamic team. As a leading tech company specializing in innovative software solutions, we are dedicated to creating cutting-edge applications that drive progress and empower businesses around the world. This internship opportunity offers hands-on experience, mentorship, and the chance to contribute to real-world projects. If you have a strong foundation inAI / MLand are eager to learn and grow, we want to hear from you!

Position:AI / ML EngineersIntern
Company: Join Momentum
Location: Remote

Responsibilities:
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  • Data Preprocessing:
  • Collect, clean, and preprocess data for machine learning pipelines.
  • Perform exploratory data analysis to uncover patterns and insights.
  • Model Development:
    • Assist in building, training, and fine-tuning machine learning models.
    • Implement algorithms in supervised, unsupervised, and reinforcement learning.
  • System Integration:
    • Integrate AI/ML models into existing or new software systems.
    • Test, validate, and deploy machine learning solutions.
  • Research and Experimentation:
    • Stay updated on the latest AI/ML technologies and research.
    • Experiment with novel algorithms and techniques to improve performance.
  • Performance Monitoring:
    • Evaluate model performance using metrics such as accuracy, precision, recall, etc.
    • Optimize models for speed and scalability.
  • Collaboration:
    • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
    • Contribute to code reviews and provide constructive feedback.


Requirements

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  • Basic understanding of machine learning concepts and algorithms.
  • Proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with data manipulation tools (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Strong problem-solving and analytical skills.
Preferred:
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  • Experience with cloud platforms (AWS, Azure, or Google Cloud) for AI/ML applications.
  • Knowledge of version control systems (e.g., Git).
  • Exposure to frameworks like OpenCV, NLTK, or Hugging Face.
  • Basic understanding of deep learning concepts such as neural networks and convolutional networks.


Benefits

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  • Flexible work schedule to accommodate your availability.
  • Opportunity to work on exciting and challenging projects.
  • Collaborative and inclusive work environment.
  • Hands-on experience working on real-world projects in a supportive and collaborative environment.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to expand your skills and knowledge inAI/ML
  • Flexible work hours and the possibility of remote work.
  • This is6monthsunpaid internship role.


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